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About the Role

CFC's Data & AI team is building production agentic and ML systems that automate and inform complex underwriting decisions. This role involves running experiments, stress-testing assumptions, and generating evidence to shape product development. We are seeking a mid-level Data Scientist to join a team managing live solutions utilizing Large Language Models (LLMs), such as email ingestion/extraction and underwriting agents. This is a hands-on role requiring collaboration with ML and software engineers to build and maintain live systems, impacting business outcomes directly.

Responsibilities

• Explore complex datasets to uncover insights that improve underwriting decisions and system performance.
• Partner with underwriting and business stakeholders to scope problems, assess feasibility, and build early prototypes.
• Collaborate with ML/software engineers to harden, scale, and maintain built systems.
• Design and run evaluation frameworks for LLM-powered agent behavior, including offline and online methods.
• Build and maintain analytical pipelines for prompt design, calibration, bias checks, and validation.
• Partner with ML engineers to design system components and translate data science findings into engineering requirements.
• Define and track quality metrics for agent outputs (accuracy, hallucination rate, task completion, groundedness, latency/cost).
• Work with software engineers on productionizing evaluation and monitoring code, including CI/CD integration and operational readiness.
• Explore cutting-edge AI and machine learning developments, prototyping and implementing new techniques.
• Investigate agentic system behavior in production to identify edge cases and improve robustness.
• Prototype and iterate on features for AI/ML pipelines, driving measurable impact in production services.
• Document experiments, findings, and methodologies for reproducibility and traceability.

Requirements

• Experience working in Data Science, Applied Machine Learning, NLP or LLM-focused roles.
• Strong Python and SQL skills.
• Experience working in production codebases and collaborative engineering environments.
• Hands-on experience evaluating, deploying, and monitoring machine learning or LLM-powered applications.
• Solid understanding of experimentation, model evaluation, A/B testing, and performance measurement.
• Experience working with modern AI frameworks, agent architectures or retrieval-augmented generation (RAG) solutions.
• Knowledge of cloud-based AI platforms, ideally within Azure.
• Understanding of how AI and ML systems are operationalized, monitored, and maintained in production.
• Strong communication skills and ability to translate complex technical concepts into business outcomes.
• Confidence working directly with technical and non-technical stakeholders to solve ambiguous problems.
• Ownership mindset with the ability to work independently and contribute within a cross-functional team.
• Prior experience in a business-critical / high-uptime production environment.
• Experience with Databricks.
• Understanding of asynchronous programming, containerised deployments (Docker), and modern service architectures.
• Hands-on experience with Infrastructure as Code, particularly Terraform.
• Experience designing and building distributed, asynchronous microservices using message brokers (e.g., Azure Service Bus, pub/sub).
• Knowledge of the insurance domain.

Skills

• Python
• SQL
• Machine Learning
• NLP
• LLM
• AI frameworks
• Agent architectures
• Retrieval-Augmented Generation (RAG)
• Azure
• Experimentation
• Model evaluation
• A/B testing
• Performance measurement
• Asynchronous programming
• Docker
• Infrastructure as Code
• Terraform
• Azure Service Bus
• Pub/Sub

Location

• UK - London

Work Type

• Permanent
• Full Time

Experience Level

• Mid-level

About the Company

• Insurance isn’t the first industry most data scientists think of when they imagine cutting-edge Artificial Intelligence (AI) work, but the incredibly rich data and nature of the business make it a great place to put cutting-edge AI to use.
• Love what you do: We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers.
• Challenge everything: We’re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better.
• Have fun, be good: Insurance is a serious business, but we don’t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.